Journal of Bionic Engineering ›› 2022, Vol. 19 ›› Issue (4): 1124-1139.doi: 10.1007/s42235-022-00195-z

• • 上一篇    

Snake-Hot-Eye-Assisted Multi-Process-Fusion Target Tracking Based on a Roll-Pitch Semi-strapdown Infrared Imaging Seeker

Jian Chen1, Zichao Zhang1,2, Ke Yi3, Yu Han4, Zhang Ren5   

  1. 1 College of Engineering, China Agricultural University, Beijing 100083, China  2 Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518000, China  3 Systems Engineering Research Institute, China State Shipbuilding Corporation Limited, Beijing 100094, China  4 College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China  5 School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
  • 收稿日期:2021-06-21 修回日期:2022-03-24 接受日期:2022-04-20 出版日期:2022-09-22 发布日期:2022-09-23
  • 通讯作者: Yu Han, Jian Chen, Zichao Zhang, Ke Yi, Zhang Ren E-mail:yhan@cau.edu.cn, jchen@cau.edu.cn, zhangzc1@cau.edu.cn, xtek101@163.com, renzhang@buaa.edu.cn
  • 作者简介:Jian Chen1, Zichao Zhang1,2, Ke Yi3, Yu Han4, Zhang Ren5

Snake-Hot-Eye-Assisted Multi-Process-Fusion Target Tracking Based on a Roll-Pitch Semi-strapdown Infrared Imaging Seeker

Jian Chen1, Zichao Zhang1,2, Ke Yi3, Yu Han4, Zhang Ren5   

  1. 1 College of Engineering, China Agricultural University, Beijing 100083, China  2 Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518000, China  3 Systems Engineering Research Institute, China State Shipbuilding Corporation Limited, Beijing 100094, China  4 College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China  5 School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
  • Received:2021-06-21 Revised:2022-03-24 Accepted:2022-04-20 Online:2022-09-22 Published:2022-09-23
  • Contact: Yu Han, Jian Chen, Zichao Zhang, Ke Yi, Zhang Ren E-mail:yhan@cau.edu.cn, jchen@cau.edu.cn, zhangzc1@cau.edu.cn, xtek101@163.com, renzhang@buaa.edu.cn
  • About author:Jian Chen1, Zichao Zhang1,2, Ke Yi3, Yu Han4, Zhang Ren5

摘要: Aiming at intercepting large maneuvering targets precisely, the guidance law of advanced self-seeking missiles requires not only inertial line-of-sight (LOS) angular rate but also target maneuvering acceleration. Moreover, the semi-strapdown stabilization platform has lost the ability to measure the inertial LOS angular rate directly, which needs to be extracted by numerical calculation. The differential operation commonly used in traditional methods can magnify the measurement error of the sensor, resulting in insufficient calculation accuracy of the line-of-sight angular rate. By analyzing the mathematical relationship between the missile–target relative motion and the angle tracking system, a multi-process-fusion integrated filter model of relative motion and angle tracking is presented. To overcome the defect that the infrared seeker cannot directly measure the missile–target distance, following the snake-hot-eye visual mechanism, a visual bionic imaging guidance method of estimating the missile–target relative distance from the infrared images is proposed to improve the observability of the filter model. Finally, target-tracking simulations verify that the estimation accuracy of target acceleration is improved by four times.

关键词: Roll-pitch semi-strapdown , · Infrared imaging seeker , · Target tracking , · Biological visual mechanism , · Snake hot eye , · Integrated flter

Abstract: Aiming at intercepting large maneuvering targets precisely, the guidance law of advanced self-seeking missiles requires not only inertial line-of-sight (LOS) angular rate but also target maneuvering acceleration. Moreover, the semi-strapdown stabilization platform has lost the ability to measure the inertial LOS angular rate directly, which needs to be extracted by numerical calculation. The differential operation commonly used in traditional methods can magnify the measurement error of the sensor, resulting in insufficient calculation accuracy of the line-of-sight angular rate. By analyzing the mathematical relationship between the missile–target relative motion and the angle tracking system, a multi-process-fusion integrated filter model of relative motion and angle tracking is presented. To overcome the defect that the infrared seeker cannot directly measure the missile–target distance, following the snake-hot-eye visual mechanism, a visual bionic imaging guidance method of estimating the missile–target relative distance from the infrared images is proposed to improve the observability of the filter model. Finally, target-tracking simulations verify that the estimation accuracy of target acceleration is improved by four times.

Key words: Roll-pitch semi-strapdown , · Infrared imaging seeker , · Target tracking , · Biological visual mechanism , · Snake hot eye , · Integrated flter